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Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regul...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757672/ https://www.ncbi.nlm.nih.gov/pubmed/33377109 http://dx.doi.org/10.1016/j.xpro.2020.100216 |
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author | Gillespie, Mark A. Palii, Carmen G. Sanchez-Taltavull, Daniel Perkins, Theodore J. Brand, Marjorie Ranish, Jeffrey A. |
author_facet | Gillespie, Mark A. Palii, Carmen G. Sanchez-Taltavull, Daniel Perkins, Theodore J. Brand, Marjorie Ranish, Jeffrey A. |
author_sort | Gillespie, Mark A. |
collection | PubMed |
description | Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage. For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020). |
format | Online Article Text |
id | pubmed-7757672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77576722020-12-28 Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry Gillespie, Mark A. Palii, Carmen G. Sanchez-Taltavull, Daniel Perkins, Theodore J. Brand, Marjorie Ranish, Jeffrey A. STAR Protoc Protocol Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage. For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020). Elsevier 2020-12-13 /pmc/articles/PMC7757672/ /pubmed/33377109 http://dx.doi.org/10.1016/j.xpro.2020.100216 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Gillespie, Mark A. Palii, Carmen G. Sanchez-Taltavull, Daniel Perkins, Theodore J. Brand, Marjorie Ranish, Jeffrey A. Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
title | Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
title_full | Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
title_fullStr | Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
title_full_unstemmed | Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
title_short | Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
title_sort | absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757672/ https://www.ncbi.nlm.nih.gov/pubmed/33377109 http://dx.doi.org/10.1016/j.xpro.2020.100216 |
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